Raghu Meka
Computational Mechanics · 2009–2018
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 25 citations into it; #1,618 of 10,001 by trust here, #2,644 by citations
- Artificial Intelligence — 23 citations into it; #26,920 of 35,345 by trust here, #25,809 by citations
- Statistical Learning Theory — 13 citations into it
- Signal Processing — 11 citations into it; #1,326 of 7,572 by trust here, #2,816 by citations
- Applied Mathematics — 6 citations into it
- Biomedical Engineering — 6 citations into it
- Computational Mathematics — 6 citations into it
- Numerical Analysis — 6 citations into it
Whom Raghu Meka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Alan M. Frieze
- Maryam Fazel
- David L. Donoho
- B. Recht
- Yehuda Koren
- Terence Tao
- Kim-Chuan Toh
- Shuiwang Ji
- Kiryung Lee
Who trusts Raghu Meka overall
- Bart Vandereycken
- Prateek Jain
- André Uschmajew
- Kfir Yehuda Levy
- Srinadh Bhojanapalli
- Raghunandan H. Keshavan
- Yudong Chen
- Thanh T. Ngo
- Zaiwen Wen
- S. D. Babacan
Papers from Raghu Meka's perspective
Ordered by how strongly the researchers Raghu Meka trusts endorse each paper. Same corpus, a different order for every researcher.
- Exact Matrix Completion via Convex Optimization
- A Singular Value Thresholding Algorithm for Matrix Completion
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- ImageNet: A large-scale hierarchical image database
- Atomic Decomposition by Basis Pursuit
- Gradient-based learning applied to document recognition
Their papers
- Learning One Convolutional Layer with Overlapping Patches (2018) — 81 citations
- Efficient Algorithms for Outlier-Robust Regression (2018) — 171 citations
- Anti-concentration for Polynomials of Independent Random Variables (2015) — 67 citations
- Guaranteed Rank Minimization via Singular Value Projection (2009) — 576 citations